A review of genetic algorithm for metal cutting processes and a research agenda
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Quality of finished product manufactured by metal cutting process depends on various machining factors. Similarly the chemical composition of work piece material also plays important role .So before processing we must know relationship in between machining parameters and material parameters which is studied by various optimization methods. The genetic algorithm (GA) is the one of optimization technique which generates solutions to optimization problems using techniques inspired by natural evolution, such as selection, mutation, and crossover.GA is a good global optimization tool.
Authors and Affiliations
Krantikumar K. Bhosale, Vijay D. Jadhav
Keywords
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